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This study aims to investigate the relationships between loan growth, loan losses and net income after the 2008 global financial crisis. This study further conducts a comparative analysis by considering the period of COVID-19.

This study uses panel data models such as one-step system GMM, random effects, fixed effects and OLS, with a data set of 131 Chinese commercial banks from 2009 to 2020.

The study finds no significant relationship between loan growth and future loan losses. However, after adjusting loan loss by net interest income (NII-adjusted loan loss), the study reveals that loan growth in the subsequent year decreases if NII-adjusted loan loss increases. The study also demonstrates the positive effect of loan growth on net income as newly expanded loans are funded at similar costs but offered at a lower rate compared with existing loans. During COVID-19, loan growth and net income were higher than in previous years.

The findings suggest that Chinese banks can increase lending to support the economy without sacrificing loan quality, emphasizing the importance of maintaining and enhancing credit policies and practices. Chinese banks should also continue to refine their pricing strategies for loans and deposits. The findings also imply that China's policy responses to the impact of COVID-19 could serve as lessons for future policy decisions.

A credit risk model suitable for agricultural lenders is identified. The model incorporates sector correlations and is applied to the loan portfolio of an agricultural credit association to create a distribution of loan losses. The distribution is used to derive the lender’s expected and unexpected losses. Results of the analysis indicate that the association is more than adequately capitalized based on 1997S2002 data. Since the capital position of the association is lower than that of most other associations in the Farm Credit System, this raises the issue of overcapitalization in the System.

This paper aims to examine the relationship between abnormal loan growth and risk in Swedish financial institutions by type and borrower using three indicators as proxies for risks related to loan losses, the ratio of interest income to total loans and solvency perspectives.

Using a large sample of different types of Swedish financial institutions, this paper uses a panel framework to examine the relationships between abnormal loan growth rates and loan losses, interest income as a percentage of total loans, changes in the equity to assets ratio and changes in z-score.

The findings show two important points of evidence. First, abnormal lending to retail customers increases loan losses and interest income in relation to total loans. Second, abnormal lending to other credit institutions decreases loan losses and significantly changes the capital structure by increasing the reliance on debt funding and significantly improves the z-score measure.

The findings provide useful implications for the management of loan portfolios for a wide range of Swedish financial institutions, identifying two components: abnormal lending to households may increase loan losses and increase interest income in relation to total loans, and excessive lending to other credit institutions may reduce solvency risk and allow more debt financing for the financial institution.

This is the first study to use a panel framework in analyzing the behavior of different types of Swedish financial institutions in relation to loans granted to retail customers and other credit institutions.

The purpose of this paper is to present a comprehensive framework for assisting lending banks in their current expected credit losses (CECL) forthcoming computations.

The bottom-up approach requires multiple steps including the spline method for identifying optimal segments in the lifetimes of loans, Poisson regressions for evaluating the explanatory variables and hazard rate probes for gaining inferences toward the expected credit losses and their projected schedule.

The CECL paradigm has both advantages and disadvantages, as discussed hereafter.

The model is practical, accurate in the sense that provisions are properly and timely allocated, it can be programmed and it relies on merely a few mild assumptions, thus it can be conveniently calibrated to fit broad macroeconomic scenarios.

This study provides background on the subject, motivate each module, construct the advised model, assemble a pseudo-database, demonstrate the functionality of the procedures and further draw conclusions on the effectiveness of the current strategy.

Prior research demonstrates that share prices reflect a risk premium that is associated with earnings variability. This suggests that managers can reduce the cost of capital and increase share prices by reducing earnings variability. In this study, we investigate bank managers' use of discretion in estimating loan loss provisions (LLP) to reduce earnings variability. We find that banks with relatively high pre‐managed earnings have positive discretionary LLP and banks with relatively low pre‐managed earnings have negative discretionary LLP, results that are consistent with the hypothesis of earnings management to reduce earnings variability. In addition, we find that bank managers' decisions to reduce earnings variability are related to the need for external financing and to gains and losses on the sale of securities which serve as substitutes for accomplishing their objective of earnings variability reduction.

The purpose of this paper is to examine the factors that influence the variability of loan losses (termed as non-performing advances or NPA in India) of Indian banks in the public sector during the period of five years from 2001 to 2005.

The analysis is based on a panel approach, which considers both spatial and time dimensions of observations. Panel regression was used to explore the impact of different bank-specific factors on NPAs of 27 public sector banks (PSBs). Standard tests were used to find out suitability of different models of panel data analysis. Eight bank-specific factors were identified for analysis on the basis of review of extant literature.

Certain bank-specific factors, in particular, net interest margin and capital adequacy ratio exhibit negative and significant impact on gross non-performing advances (GNPA) ratio of Indian PSBs. The results also suggest that relative quantum of sensitive sector (SEN) (comprised of commercial real estate, commodity and capital market) advances has a positive relationship with NPA ratio, and such a relationship is statistically significant.

The sample is restricted to India and may not be reflective of other countries. The study considers bank-level factors, and there are some macro factors (e.g. gross domestic product, interest rate and inflation rate) which could have explained the variability of GNPA ratio.

Provisioning against loan losses is a major issue for stability of the banking system. Identification of appropriate causes of variability of such loan losses is important for managing credit portfolio of a bank. A positive and significant relationship between SEN advances and NPA calls for a more cautionary approach toward lending to those sectors.

This paper is believed to be the first attempt to empirically examine the role of bank-specific factors. This study attempts to enrich empirical research in the field and provides an insight into the role of various bank-specific factors on loan losses in the context of Indian PSBs. The study provides contrary evidence regarding the role of priority sector advances on a GNPA ratio.

A simulation methodology is applied to the loan loss reserve process of an agricultural lender. Weaknesses of the point‐estimate approach to estimating loan loss reserves are addressed with a “bottom‐up” model. Modeling includes consideration of the producer’s and the lender’s diversification efforts. Implementation of this model will provide the lender a better understanding of the institution’s portfolio risk, as well as the credit risk associated with each loan. This study compares the lender’s loan loss estimates to a distribution of losses with associated probabilities. The comparative results could provide the lender a basis for setting probability levels for determining the regulatory required level of loan loss reserve.

This paper investigates which loan loss provision (LLP) model [International Accounting Standards39 (IAS39) based on incurred losses and Brazilian Central Bank Generally Accepted Accounting Principles (GAAP) based on a mixed model] presents higher quality in terms of predictability, and which model is less susceptible to earnings management practices using LLP.

To test the difference between the explanatory power of the mixed model and incurred loss model in explaining the LLP, this paper runs a two-stage fixed-effect panel regression model to evaluate the association between LLP of each model and variables representatives of non-discretionary aspects related to the quality of the loan portfolio, business cycles and qualitative evidence indicated in each GAAP. Then, this paper tests the relationship between the errors generated in each regression and the discretion of bank managers and banks’ characteristics.

This paper finds that the mixed model results in higher R2 demonstrating that the number produced under this regime is more related to observable variables than the number produced under the incurred losses model. Further, this paper finds no evidence that there is a difference in earnings management between the two standards and this paper does not find that banks manage earnings through regulatory capital. Nevertheless, this paper finds that earnings management is higher in private than in listed banks.

This paper takes advantage of the unique feature of the Brazilian Central Bank regulation to investigate the impact of two different accounting standards on LLP in a perfect setting.

The purpose of this study is to examine the factors which affect loss provision for loans and investment in Murabaha, Musharka, and Mudarabah for banks in the Gulf Cooperation Council (GCC) region. The effect of prior period earnings, legal and statutory reserves, size of the bank, level of debt, and loan and investment to deposit ratio on the loss provisions of banks are examined for the period 2000‐2003.

To test the factors that explain the loan loss provision and to test the income smoothing hypothesis, debt to equity hypothesis, and reserve hypothesis, a single stage regression model was developed and tested.

The results indicate that when return on assets (ROA) before tax and loss provisions for the current year is higher than the prior year ROA and the actual capital reserve is below the legal required reserve, then management is expected to increase loss provisions for the current year. This result is robust for all the years of this study.

While prior research has examined the issue of the loan loss provision in USA, Japan, and Europe, no research has examined the issue of the loss provisions in the GCC region. This study demonstrates that the income smoothing hypothesis is relevant across different regulatory requirements, economic conditions, and different accounting standards. Managers of banks in the GCC region use the loss provision, among other things, to smooth earnings to achieve certain objectives.

Traces the history of the Community Reinvestment Act (CRA), which requires US lenders to meet the credit needs of their local customers, and presents a study of its effect on profitability. Looks at financial institutions which received revized CRA ratings between 1990 and 1995, analysing their characteristics before and after revision, and finds upgraded banks hold more loans and are likely to be either rapidly growing and/or reaching deeper into the pool of applicants. Goes on to show that interest on CRA‐related loans is lower than on others, i.e. profitability is reduced and risk increased. Concludes that although CRA activities may open new markets and build new skills for lenders, their costs are likely to exceed their benefits for most institutions.